customizedTraining
Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models
Customized training is a simple technique for transductive learning, when the test covariates are known at the time of training. The method identifies a subset of the training set to serve as the training set for each of a few identified subsets in the training set. This package implements customized training for the glmnet() and cv.glmnet() functions.
- Version1.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release01/29/2019
Documentation
Team
Scott Powers
Scott Powers, Trevor Hastie, Robert Tibshirani
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- Imports2 packages